Xiaoyuan Song

5.5k total citations · 2 hit papers
55 papers, 3.3k citations indexed

About

Xiaoyuan Song is a scholar working on Molecular Biology, Cancer Research and Cell Biology. According to data from OpenAlex, Xiaoyuan Song has authored 55 papers receiving a total of 3.3k indexed citations (citations by other indexed papers that have themselves been cited), including 39 papers in Molecular Biology, 19 papers in Cancer Research and 7 papers in Cell Biology. Recurrent topics in Xiaoyuan Song's work include Cancer-related molecular mechanisms research (13 papers), RNA Research and Splicing (12 papers) and RNA modifications and cancer (11 papers). Xiaoyuan Song is often cited by papers focused on Cancer-related molecular mechanisms research (13 papers), RNA Research and Splicing (12 papers) and RNA modifications and cancer (11 papers). Xiaoyuan Song collaborates with scholars based in China, United States and Egypt. Xiaoyuan Song's co-authors include Michael G. Rosenfeld, Christopher K. Glass, Bogdan Tanasă, Dimple Notani, Xiangting Wang, Riki Kurokawa, S Arai, Paul Tempst, Donna Reichart and Gabriel Pascual and has published in prestigious journals such as Nature, Cell and Proceedings of the National Academy of Sciences.

In The Last Decade

Xiaoyuan Song

55 papers receiving 3.3k citations

Hit Papers

Induced ncRNAs allosterically modify RNA-binding proteins... 2008 2026 2014 2020 2008 2013 250 500 750

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Xiaoyuan Song China 21 2.6k 1.3k 398 194 179 55 3.3k
Aldo Pagano Italy 28 1.8k 0.7× 783 0.6× 146 0.4× 86 0.4× 142 0.8× 61 2.4k
Yi Qin China 19 2.9k 1.1× 2.0k 1.6× 209 0.5× 206 1.1× 243 1.4× 42 3.8k
Paz Einat Israel 17 3.2k 1.2× 1.9k 1.5× 337 0.8× 325 1.7× 160 0.9× 21 4.3k
Liang Zhou China 32 2.0k 0.8× 1.3k 1.0× 271 0.7× 195 1.0× 363 2.0× 99 3.6k
Jeremy M. Simon United States 29 2.1k 0.8× 452 0.4× 700 1.8× 213 1.1× 148 0.8× 80 2.9k
Casper Shyr Canada 14 2.1k 0.8× 363 0.3× 383 1.0× 215 1.1× 226 1.3× 21 2.7k
Tanja Kunej Slovenia 26 1.7k 0.7× 1.3k 1.0× 561 1.4× 170 0.9× 73 0.4× 127 2.8k
Xu Jiang China 26 1.4k 0.5× 561 0.4× 171 0.4× 289 1.5× 135 0.8× 59 2.1k
Caixia Guo China 27 2.1k 0.8× 579 0.4× 263 0.7× 111 0.6× 152 0.8× 73 2.4k

Countries citing papers authored by Xiaoyuan Song

Since Specialization
Citations

This map shows the geographic impact of Xiaoyuan Song's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Xiaoyuan Song with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Xiaoyuan Song more than expected).

Fields of papers citing papers by Xiaoyuan Song

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Xiaoyuan Song. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Xiaoyuan Song. The network helps show where Xiaoyuan Song may publish in the future.

Co-authorship network of co-authors of Xiaoyuan Song

This figure shows the co-authorship network connecting the top 25 collaborators of Xiaoyuan Song. A scholar is included among the top collaborators of Xiaoyuan Song based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Xiaoyuan Song. Xiaoyuan Song is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Zhao, Weidong, et al.. (2024). Machine-learning and scRNA-Seq-based diagnostic and prognostic models illustrating survival and therapy response of lung adenocarcinoma. Genes and Immunity. 25(5). 356–366. 1 indexed citations
2.
Wang, Siqi, et al.. (2023). The 3D genome and its impacts on human health and disease. PubMed. 2(2). lnad012–lnad012. 11 indexed citations
3.
Su, Xiaojing, Qiaofeng Wu, Xiang Xu, et al.. (2023). Involvement of Mrgprd-expressing nociceptors-recruited spinal mechanisms in nerve injury-induced mechanical allodynia. iScience. 26(5). 106764–106764. 2 indexed citations
4.
Wang, Qianqian, Xiaorong Wang, Yueming Wu, et al.. (2023). piR-36249 and DHX36 together inhibit testicular cancer cells progression by upregulating OAS2. Non-coding RNA Research. 8(2). 174–186. 8 indexed citations
5.
Xiao, Jun, et al.. (2022). LncRNA‐MALAT1 Regulates Cancer Glucose Metabolism in Prostate Cancer via MYBL2/mTOR Axis. Oxidative Medicine and Cellular Longevity. 2022(1). 8693259–8693259. 18 indexed citations
6.
Luo, Zhengyu, Ran Zhang, Yuting Zhu, et al.. (2022). NicE-C efficiently reveals open chromatin–associated chromosome interactions at high resolution. Genome Research. 32(3). 534–544. 11 indexed citations
7.
Wang, Nan & Xiaoyuan Song. (2022). Numerical Model of square steel tubular and spiral stirrup composite confined-concrete stub columns under axial compression. Advances in Engineering Technology Research. 3(1). 61–61. 1 indexed citations
8.
Zhu, Xia, Wanying Dong, Fang Kang, et al.. (2021). Distinct thalamocortical circuits underlie allodynia induced by tissue injury and by depression-like states. Nature Neuroscience. 24(4). 542–553. 104 indexed citations
9.
Zhou, Yu, Yajun Wang, Qingyu Cheng, et al.. (2021). LYAR Promotes Colorectal Cancer Progression by Upregulating FSCN1 Expression and Fatty Acid Metabolism. Oxidative Medicine and Cellular Longevity. 2021(1). 9979707–9979707. 18 indexed citations
10.
Wang, Siqi, Yueming Wu, Duo Zhang, et al.. (2021). Functional Network of the Long Non-coding RNA Growth Arrest-Specific Transcript 5 and Its Interacting Proteins in Senescence. Frontiers in Genetics. 12. 615340–615340. 9 indexed citations
11.
Luo, Zhengyu, Hong Jiang, Ruoyu Wang, et al.. (2020). Rearrangement of macronucleus chromosomes correspond to TAD-like structures of micronucleus chromosomes in Tetrahymena thermophila. Genome Research. 30(3). 406–414. 8 indexed citations
12.
Wang, Fei, Da‐long Ren, Bowen Zhang, et al.. (2019). A long noncoding RNA cluster-based genomic locus maintains proper development and visual function. Nucleic Acids Research. 47(12). 6315–6329. 11 indexed citations
13.
Cao, Jun, Qing Li, Yang Lv, et al.. (2016). Hepatocellular Carcinoma-propagating Cells are Detectable by Side Population Analysis and Possess an Expression Profile Reflective of a Primitive Origin. Scientific Reports. 6(1). 34856–34856. 18 indexed citations
14.
Li, Hui, Fan Yang, Chunhua Liu, et al.. (2016). Crystal Structure and Substrate Specificity of PTPN12. Cell Reports. 15(6). 1345–1358. 26 indexed citations
15.
Li, Wenbo, Yiren Hu, Soohwan Oh, et al.. (2015). Condensin I and II Complexes License Full Estrogen Receptor α-Dependent Enhancer Activation. Molecular Cell. 59(2). 188–202. 85 indexed citations
16.
Liu, Zhi‐Jie, Daria Merkurjev, Feng Yang, et al.. (2014). Enhancer Activation Requires trans-Recruitment of a Mega Transcription Factor Complex. Cell. 159(2). 358–373. 153 indexed citations
17.
Song, Xiaoyuan. (2012). Experimental Study on Frost-resistance of Red Clay Cemented Soil. Guisuanyan tongbao. 1 indexed citations
18.
Song, Xiaoyuan, Xiangting Wang, S Arai, & Riki Kurokawa. (2011). Promoter-Associated Noncoding RNA from the CCND1 Promoter. Methods in molecular biology. 809. 609–622. 35 indexed citations
19.
Song, Xiaoyuan & Martin A. Gorovsky. (2006). Unphosphorylated H1 Is Enriched in a Specific Region of the Promoter when CDC2 Is Down-Regulated during Starvation. Molecular and Cellular Biology. 27(5). 1925–1933. 9 indexed citations
20.
Dou, Yali, Xiaoyuan Song, Yifan Liu, & Martin A. Gorovsky. (2005). The H1 Phosphorylation State Regulates Expression of CDC2 and Other Genes in Response to Starvation in Tetrahymena thermophila. Molecular and Cellular Biology. 25(10). 3914–3922. 17 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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